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Record W4401685488 · doi:10.1080/08959420.2024.2376934

A Review of Public Sector Engagement in Age-Friendly Community Initiatives

2024· review· en· W4401685488 on OpenAlex
Natalie Pope, Emily A. Greenfield, Laura Keyes, Elizabeth M. Russell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging & Social Policy · 2024
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsTrent University
Fundersnot available
KeywordsPublic sectorPublic engagementBusinessCommunity engagementEnvironmental healthEconomic growthPublic administrationPublic relationsGerontologyPolitical scienceMedicineEconomics

Abstract

fetched live from OpenAlex

The global age-friendly cities and communities (AFCC) movement has centered on the involvement of the public sector, calling on high-ranking authorities to commit to improving the built, social, and service environments of their localities. This interpretive review aimed to advance understanding of the ways in which the public sector is involved in AFCC efforts. Based on emergent themes from peer-reviewed articles from the United States and Canada published since 2010, we derived a two-dimensional framework for conceptualizing variability in public sector involvement, encompassing the internal/external (a) locus of responsibility for cross-sector change and (b) target for cross-sector change. We discuss implications for research, policy, practice, and further knowledge development in AFCC implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.281
GPT teacher head0.522
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it